Authors
Sylvain Christin, Éric Hervet, Nicolas Lecomte
Publication date
2019/10
Source
Methods in Ecology and Evolution
Volume
10
Issue
10
Pages
1632-1644
Description
- A lot of hype has recently been generated around deep learning, a novel group of artificial intelligence approaches able to break accuracy records in pattern recognition. Over the course of just a few years, deep learning has revolutionized several research fields such as bioinformatics and medicine with its flexibility and ability to process large and complex datasets. As ecological datasets are becoming larger and more complex, we believe these methods can be useful to ecologists as well.
- In this paper, we review existing implementations and show that deep learning has been used successfully to identify species, classify animal behaviour and estimate biodiversity in large datasets like camera‐trap images, audio recordings and videos. We demonstrate that deep learning can be beneficial to most ecological disciplines, including applied contexts, such as management and conservation.
- We also identify …
Scholar articles
S Christin, É Hervet, N Lecomte - Methods in Ecology and Evolution, 2019